Huili Chen

发表

DeepInspect: A Black-box Trojan Detection and Mitigation Framework for Deep Neural Networks

Jishen Zhao, Cheng Fu, Huili Chen, 2019, IJCAI.

Self-Aware Personalized Federated Learning

Anit Kumar Sahu, Eric W. Tramel, S. Avestimehr, 2022, NeurIPS.

FLAME: Taming Backdoors in Federated Learning (Extended Version 1)

Azalia Mirhoseini, F. Koushanfar, Samuel Marchal, 2021, 2101.02281.

GenUnlock: An Automated Genetic Algorithm Framework for Unlocking Logic Encryption

Jishen Zhao, Cheng Fu, Huili Chen, 2019, 2019 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).

DeepMarks: A Secure Fingerprinting Framework for Digital Rights Management of Deep Learning Models

Farinaz Koushanfar, Jishen Zhao, Cheng Fu, 2019, ICMR.

DeepSigns: An End-to-End Watermarking Framework for Ownership Protection of Deep Neural Networks

Farinaz Koushanfar, Bita Darvish Rouhani, Huili Chen, 2019, ASPLOS.

ProFlip: Targeted Trojan Attack with Progressive Bit Flips

F. Koushanfar, Jishen Zhao, Huili Chen, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

SpecMark: A Spectral Watermarking Framework for IP Protection of Speech Recognition Systems

Farinaz Koushanfar, Bita Darvish Rouhani, Huili Chen, 2020, INTERSPEECH.

Coda: An End-to-End Neural Program Decompiler

Yuandong Tian, Xinyun Chen, Jishen Zhao, 2019, NeurIPS.

DeepSigns: A Generic Watermarking Framework for IP Protection of Deep Learning Models pdf

Farinaz Koushanfar, Bita Darvish Rouhani, Huili Chen, 2018, IACR Cryptol. ePrint Arch..

DeepAttest: An End-to-End Attestation Framework for Deep Neural Networks

Farinaz Koushanfar, Jishen Zhao, Bita Darvish Rouhani, 2019, 2019 ACM/IEEE 46th Annual International Symposium on Computer Architecture (ISCA).

Trustworthy AI Inference Systems: An Industry Research View

Fateme S. Hosseini, Kamalika Chaudhuri, F. Koushanfar, 2020, ArXiv.

TAD: Trigger Approximation based Black-box Trojan Detection for AI

F. Koushanfar, Huili Chen, Xinqiao Zhang, 2021, ArXiv.

DeepSigns : A Generic Watermarking Framework for Protecting the Ownership of Deep Learning Models

Farinaz Koushanfar, Bita Darvish Rouhani, Huili Chen, 2018, 1804.00750.

PerD: Perturbation Sensitivity-based Neural Trojan Detection Framework on NLP Applications

F. Koushanfar, Huili Chen, Diego Garcia-soto, 2022, ArXiv.

DeepMarks: A Digital Fingerprinting Framework for Deep Neural Networks

Farinaz Koushanfar, Bita Darvish Rouhani, Huili Chen, 2018, IACR Cryptol. ePrint Arch..

ActPerFL: Active Personalized Federated Learning

Anit Kumar Sahu, Eric W. Tramel, S. Avestimehr, 2022, FL4NLP.

Backdoor Defense in Federated Learning Using Differential Testing and Outlier Detection

F. Koushanfar, Huili Chen, Y. Kim, 2022, ArXiv.

ESCORT: Ethereum Smart COntRacTs Vulnerability Detection using Deep Neural Network and Transfer Learning pdf

Farinaz Koushanfar, Alexandra Dmitrienko, Hossein Fereidooni, 2021, ArXiv.

Smarter Contracts: Detecting Vulnerabilities in Smart Contracts with Deep Transfer Learning

F. Koushanfar, A. Sadeghi, H. Fereidooni, 2023, NDSS.

BlackMarks: Blackbox Multibit Watermarking for Deep Neural Networks pdf

Farinaz Koushanfar, Bita Darvish Rouhani, Huili Chen, 2018, ArXiv.

Systemization of Knowledge: Robust Deep Learning using Hardware-software co-design in Centralized and Federated Settings

F. Koushanfar, Huili Chen, Mojan Javaheripi, 2023, ACM Trans. Design Autom. Electr. Syst..

PlaidML-HE: Acceleration of Deep Learning Kernels to Compute on Encrypted Data

Francesco Regazzoni, Rosario Cammarota, Huili Chen, 2019, 2019 IEEE 37th International Conference on Computer Design (ICCD).

Performance Comparison of Contemporary DNN Watermarking Techniques pdf

Farinaz Koushanfar, Bita Darvish Rouhani, Xinwei Fan, 2018, ArXiv.

AdaTest: Reinforcement Learning and Adaptive Sampling for On-chip Hardware Trojan Detection

F. Koushanfar, Huili Chen, Xinqiao Zhang, 2022, ACM Trans. Embed. Comput. Syst..

FLAME: Taming Backdoors in Federated Learning (Extended Version 1)

Azalia Mirhoseini, F. Koushanfar, Samuel Marchal, 2021, 2101.02281.

AHEC: End-to-end Compiler Framework for Privacy-preserving Machine Learning Acceleration

Francesco Regazzoni, Rosario Cammarota, Huili Chen, 2020, 2020 57th ACM/IEEE Design Automation Conference (DAC).

Developing Privacy-preserving AI Systems: The Lessons learned

Rosario Cammarota, Emmanuel Stapf, Farinaz Koushanfar, 2020, 2020 57th ACM/IEEE Design Automation Conference (DAC).

FLAME: Taming Backdoors in Federated Learning

Ahmad-Reza Sadeghi, Farinaz Koushanfar, Samuel Marchal, 2022, USENIX Security Symposium.

DeepSigns: An End-to-End Watermarking Framework for Protecting the Ownership of Deep Neural Networks

Farinaz Koushanfar, Bita Darvish Rouhani, Huili Chen, 2018 .

GALU: A Genetic Algorithm Framework for Logic Unlocking

F. Koushanfar, Jishen Zhao, Huili Chen, 2021, Digital Threats: Research and Practice.

Intellectual Property Protection of Deep-Learning Systems via Hardware/Software Co-Design

F. Koushanfar, Jishen Zhao, B. Rouhani, 2024, IEEE Design & Test.

Farinaz Koushanfar, Jishen Zhao, Hao Su, 2019, 2019 IEEE 27th Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM).